28.886, Calls: Computational Linguistics; Language Acquisition / Italian Journal of Computational Linguistics (Jrnl)

[The LINGUIST List]

LINGUIST List: Vol-28-886. Wed Feb 15 2017. ISSN: 1069 - 4875.

Subject: 28.886, Calls:  Computational Linguistics; Language Acquisition / Italian Journal of Computational Linguistics (Jrnl)

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Date: Wed, 15 Feb 2017 15:25:46
From: Sara Goggi [sara.goggi at ilc.cnr.it]
Subject: Computational Linguistics; Language Acquisition / Italian Journal of Computational Linguistics (Jrnl)

 
Full Title: Italian Journal of Computational Linguistics 


Linguistic Field(s): Computational Linguistics; Language Acquisition 

Call Deadline: 20-Jul-2017 

First Call for Papers

Italian Journal of Computational Linguistics - Special Issue on ''Language and
Learning Machines''

Guest editors:

Dan Roth (University of Illinois, Urbana Champaign)
Roberto Basili (University of Roma, Tor Vergata)

Call Deadline: July 20, 2017

Learning is a fundamental ability with respect to the acquisition and use of
natural languages within diverse and geographically distributed communities.
The ability to apply learning algorithms has been the major cause behind the
renaissance of a variety of empirical methods in computational linguistics
since the late '90s and it is now amplified by the huge increase in the
computational power of modern computing, and the availability of data and
cheap storage. The re-emergence of neural architectures and their use in this
context provides a key instance of this trend. However, the nature, structure
and variety of the processes required to support natural language
understanding and the generality of their application is still debated, as
little is known, for example, about the nature and validity of these general
strategies in language learning. Open questions abound and range from
representational issues to those that bridge the gap between advancing natural
language engineering and better understanding meaningful linguistic
abstractions.

Papers are welcome reporting on all these open issues through the lens of
novel on-going research as well as survey papers, position papers or reviews
and project reports. Papers devoted to phenomena and specialties related to
the Italian language will be of a particular but not exclusive interest.

The topics include but are not limited to:

- Formal Machine Learning methods for Language Processing
- Lexical Learning: distributional methods, word embeddings and neural
language models
- Probabilistic and neural models of grammatical and semantic phenomena
- On-line learning, incremental learning, reinforcement learning for natural
languages
- Learning with minimal and indirect supervision
- Active learning strategies and autonomous learning in talking agents and
machines
- Advanced learning over visual and linguistic input
- Semantic Inference and machine learning
- Pragmatic approaches to learning for NLP
- Cognitive approaches to language learning
- Representation Learning for NLP
- Neural architectures for NLP tasks: from MLPs to recursive NNs
- Scalability of ML over big unstructured data streams
- Linguistically motivated Information Access based on ML
- Inductive methods over Social Web data: computational models of sentiment
and emotions
- Learning methods for Human Profiling in Social Web

We welcome manuscripts written in English and Italian.

Instructions for manuscript formatting and submission are at the IJCoL page:
http://www.ai-lc.it/index.php?slab=rivista

Important dates:

- 20 July 2017 - Submission of manuscripts
- 15 October 2017 - Notification of acceptance/rejection
- 20 November 2017 - Submission of final versions
- 20 December 2017 - Publication of the special issue




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